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复合材料原位光固化工艺铺层时间优化

许家忠 徐庆朋 刘美军 蒋悦

许家忠, 徐庆朋, 刘美军, 等. 复合材料原位光固化工艺铺层时间优化[J]. 复合材料学报, 2024, 41(5): 2732-2743. doi: 10.13801/j.cnki.fhclxb.20230901.001
引用本文: 许家忠, 徐庆朋, 刘美军, 等. 复合材料原位光固化工艺铺层时间优化[J]. 复合材料学报, 2024, 41(5): 2732-2743. doi: 10.13801/j.cnki.fhclxb.20230901.001
XU Jiazhong, XU Qingpeng, LIU Meijun, et al. Optimization of laying time for in-situ photocuring of composites[J]. Acta Materiae Compositae Sinica, 2024, 41(5): 2732-2743. doi: 10.13801/j.cnki.fhclxb.20230901.001
Citation: XU Jiazhong, XU Qingpeng, LIU Meijun, et al. Optimization of laying time for in-situ photocuring of composites[J]. Acta Materiae Compositae Sinica, 2024, 41(5): 2732-2743. doi: 10.13801/j.cnki.fhclxb.20230901.001

复合材料原位光固化工艺铺层时间优化

doi: 10.13801/j.cnki.fhclxb.20230901.001
基金项目: 国家重点研发计划(2022YFD2200903)
详细信息
    通讯作者:

    许家忠,博士,教授,博士生导师,研究方向为复合材料成型工艺及智能装备、智能装备及机电一体化技术 E-mail:xujiazhong@126.com

  • 中图分类号: TB332

Optimization of laying time for in-situ photocuring of composites

Funds: National Key R&D Program of China (2022YFD2200903)
  • 摘要: 紫外光固化技术存在可固化厚度有限的问题,而原位光固化工艺以层层叠加、逐层固化的方式,在固化较大厚度的复合材料方面有着独特优势。为了在原位光固化工艺中实现各层同时完成固化且固化度分布均匀的目标,首先给出单层紫外光固化的数学模型,基于该模型建立一个描述原位光固化过程的数学模型,进而对铺层时间进行优化,使用遗传算法结合梯度下降算法的方式求解出优化后的铺层时间,对原位光固化过程进行有限元仿真。仿真结果表明:与其他固化方式相比,原位光固化工艺优化铺层时间后,到达固化结束时间时,各层均能完成固化,固化度均在以期望固化度为中值的区间内且分布均匀,通过玻璃纤维增强树脂基复合材料层合板固化实验对算法及仿真进行验证,实验结果与仿真对照表明,优化后的原位光固化工艺能够实现同步固化的效果。

     

  • 图  1  梯度下降算法流程图

    Figure  1.  Flow chart of gradient descent algorithm

    H—Hamiltonian; τ—Layering time; ξ—Step factor; J—Objective function value; i—Number of layers; N—Total number of layers; k—Iteration count; k is used as the upper corner symbol to represent the current number of iterations, i is used as the lower corner symbol to represent the number of layers

    图  2  遗传算法流程图

    Figure  2.  Flow chart of genetic algorithm

    图  3  添加新层的间隔时间分布

    Figure  3.  Distribution of the interval time required for adding each layer

    图  4  算法迭代效果

    Figure  4.  Iterative effect of the algorithm

    图  5  优化铺层时间后的原位光固化工艺中固化度的演变

    Figure  5.  Evolution of curing degree in in-situ UV curing process after optimizing laying time

    图  6  优化铺层时间后的原位光固化工艺中温度的演变

    Figure  6.  Evolution of temperature in in-situ UV curing process after optimizing laying time

    图  7  采用不同固化方法的COMSOL仿真固化度结果

    Figure  7.  COMSOL simulation results using different curing processes

    图  8  实验布置

    Figure  8.  Experimental layout

    图  9  各层固化度COMSOL仿真曲线

    Figure  9.  Curing degree curves of each layer obtained by COMSOL simulation

    图  10  层边界处温度的COMSOL仿真曲线和实验曲线

    Figure  10.  Temperature curves at the boundary of the layer obtained by COMSOL simulation and experiment

    表  1  仿真中使用到的参数

    Table  1.   Parameters used in the simulation

    ParameterValue
    ${\rho _{\rm{r}}}/({\rm{kg}} \cdot {{\rm{m}}^{{\rm{ - 3}}}})$$1.1 \times {10^3}$
    ${c_{\rm{r}}}/({\rm{J}} \cdot {\rm{k}}{{\rm{g}}^{{\rm{ - 1}}}} \cdot {{\rm{K}}^{{\rm{ - 1}}}})$$1.674 \times {10^3}$
    ${V_{\rm{r}}}$0.6
    ${\rho _{\rm{f}}}/({\rm{kg}} \cdot {{\rm{m}}^{{\rm{ - 3}}}})$$2.54 \times {10^3}$
    ${c_{\rm{f}}}/({\rm{J}} \cdot {\rm{k}}{{\rm{g}}^{{\rm{ - 1}}}} \cdot {{\rm{K}}^{{\rm{ - 1}}}})$$0.8 \times {10^3}$
    ${k_{\rm{y}}}/({\rm{W}} \cdot {{\rm{m}}^{ - 1}} \cdot {{\rm{K}}^{ - 1}})$$0.35$
    $h/({\rm{W}} \cdot {{\rm{m}}^{ - 2}} \cdot {{\rm{K}}^{ - 1}})$$20$
    ${H_{\rm{r}}}/({\rm{J}} \cdot {\rm{k}}{{\rm{g}}^{ - 1}})$$3.35 \times {10^5}$
    $s/{\rm{wt\% }}$$0.05$
    $\lambda /{\rm{c}}{{\rm{m}}^{ - 1}}$$2$
    $E/({\rm{kJ}} \cdot {\rm{mo}}{{\rm{l}}^{ - 1}})$$12.7$
    $R/({\rm{J}} \cdot {\rm{mo}}{{\rm{l}}^{ - 1}} \cdot {{\rm{K}}^{ - 1}})$$8.314$
    ${C_0}/{{\rm{s}}^{ - 1}}$$0.631$
    ${T_0},{T_{\inf }}/^\circ {\rm{C}}$$20$
    $\vartheta $0.85
    $m$0.7
    $n$1.3
    $p$0.8
    $q$0.7
    Notes: ${\rho _{\rm{r}}}$—Density of resin; ${c_{\rm{r}}}$—Specific heat capacity of resin; ${V_{\rm{r}}}$—Volume fraction of resin; ${\rho _{\rm{f}}}$—Density of fiber; ${c_{\rm{f}}}$—Specific heat capacity of fiber; ${k_{\rm{y}}}$—Thermal conductivity of composite materials; $h$—Convective heat transfer coefficient; ${H_{\rm{r}}}$—Heat of polymerization; $s$—Concentration of photoinitiator; $\lambda $—UV absorption coefficient of composite materials; $E$—Activation energy; $R$—Gas constant; ${C_0}$—Preexponential factor; ${T_0},{T_{\inf }}$—Ambient temperature; $\vartheta $—Coefficient of surface absorption of UV radiation; $m$, $n$—Reaction order; $p$, $q$—Exponential constant.
    下载: 导出CSV

    表  2  不同固化方式对应的铺层时间

    Table  2.   Different curing methods correspond to the time of adding layers

    Serial number of layerLaying time for one-shot
    direct curing/s
    Laying time for equal interval
    layering time curing/s
    Laying time for optimized
    in-situ UV curing/s
    10 0 0
    20 2526
    30 5048
    40 7567
    5010086
    下载: 导出CSV

    表  3  固化度测试得到的各层平均固化度

    Table  3.   Average curing degree of each layer obtained by curing degree experiment

    Serial number of each layerAverage degree of curing/%
    192.2
    289.4
    388.6
    488.1
    590.7
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-07-13
  • 修回日期:  2023-08-16
  • 录用日期:  2023-08-24
  • 网络出版日期:  2023-09-04
  • 刊出日期:  2024-05-01

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